Analysis of Surface EMG Signals to Control of a Bionic Hand Prototype
Ładowanie...
Data
2023
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
The aim of the presented project is to develop a comprehensive
system for acquiring surface EMG data and carry out time-frequency analysis
to determine useful parameters for subsequent gesture classification for
a simple bionic hand prosthesis. This system is expected to assist in controlling
both the prosthetic hand and the robotic hand in making precise
gestures with the fingers on the hand. The article presents the methods for
acquiring and processing multi-channel EMG signals and feature extraction
for gesture recognition by an artificial neural network (ANN).
Opis
Słowa kluczowe
bionic hand, surface EMG, sEMG, neural network, NN, fast Fourier transform, FFT, Hilbert-Huang Transform, HHT, blind source separation, BSS, ręka bioniczna, powierzchnia EMG, sEMG, sieć neuronowa, NN, szybka transformata Fouriera, FFT, transformata Hilberta-Huanga, HHT, ślepa separacja źródła, BSS
Cytowanie
Pieprzycki A., Król D., Wawryka P., Łachut K., Hamera M., Srebro B., Analysis of Surface EMG Signals to Control of a Bionic Hand Prototype. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 145-150, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.21.